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SPRING: Customizable, Motivation-Driven Technology for Children with Autism or Neurodevelopmental Differences

Published:27 June 2017Publication History

ABSTRACT

Current research to understand and enhance the development of children with neurological differences, including Autism Spectrum Disorder (ASD), is often severely limited by small sample sizes of human-gathered data in artificially structured learning environments. SPRING: Smart Platform for Research, Intervention, and Neurodevelopmental Growth is a new hardware and software system designed to 1) automate quantitative data acquisition, 2) optimize learning progressions through customized, motivating stimuli, and 3) encourage social, cognitive, and motor development in a personalized, child-led play environment. SPRING can also be paired with sensors to probe the physiological underpinnings of motivation, engagement, and cognition. Here, we present the design principles and methodology for SPRING, as well as two heterogeneous case studies. The first case highlights enhanced attention and accelerated skill development using SPRING, while the second pairs SPRING data with electrodermal activity measurements to identify a possible physiological signature of engagement and challenge in learning.

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      cover image ACM Conferences
      IDC '17: Proceedings of the 2017 Conference on Interaction Design and Children
      June 2017
      808 pages
      ISBN:9781450349215
      DOI:10.1145/3078072

      Copyright © 2017 ACM

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      New York, NY, United States

      Publication History

      • Published: 27 June 2017

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      IDC '17 Paper Acceptance Rate25of118submissions,21%Overall Acceptance Rate172of578submissions,30%

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